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cs.DC2024
Energy-efficient Federated Learning with Dynamic Model Size Allocation
M S Chaitanya Kumar, Sai Satya Narayana J, Yunkai Bao +2
Federated Learning (FL) presents a paradigm shift towards distributed model training across isolated data repositories or edge devices without explicit data sharing. Despite of its…
cs.LG2024
FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
Ali Abbasi, Fan Dong, Xin Wang +3
Federated learning (FL) provides a promising collaborative framework to build a model from distributed clients, and this work investigates the carbon emission of the FL process. Cl…